Internship Supplier Quality Assurance Digitalization Office

Time period

• From August / September 2026 for a period of 6 months

Tasks

• Participation in current digitization projects and development of innovative digital solutions such as:
  • AI-supported analysis tools for supplier quality data by automating the evaluation of 8D reports, quality complaints, and supplier audits to identify patterns, causes, and mitigation measures
  • Intelligent supplier evaluation and risk monitoring systems by developing digital early warning systems for quality problems and supply chain disruptions, incorporating external data sources (market news, financial information, geopolitical factors)
  • Automated reporting solutions for creating status summaries and risk assessments, as well as for supporting global decision-making processes
• Working with quality data from our global supplier quality network and proven processes and tools such as Power BI, and further developing these together with the digitalization team
• Driving data-driven decisions through data mining and data engineering: transforming raw quality data into actionable business insights and creating management-ready reports for operational and strategic decisions in supplier quality.

Requirements

• Enrollment in a degree program in Data Science, Business Informatics, AI-focused programs, or a related field
• Digital mindset/basic experience with AI (e.g., AI/ML frameworks)
• Affinity for data and experience in data analysis and interpretation
• Interest in the automotive and supply chain industries
• Good command of English
• Self-motivation and team spirit

Application documents

• Complete resume
• Letter of motivation
• Certificate of enrollment
• Transcripts, especially current grade reports
• For mandatory internships: University or college guidelines specifying the minimum duration
• For non-EU citizens: Valid residence permit required

Benefits

• Attractive remuneration
• 35-hour week with flexible working hours
• Paid vacation days
• Discounted lunch in the company restaurant
• Free parking
• Urban environment with good transport connections
• Individual support in the department
• Accompanying activities and student network

Do you have any questions ?

[email protected]
+49 711 501-47574